Run
577725

Run 577725

Task 2073 (Supervised Classification) yeast Uploaded 02-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_IBk(5)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.AdaBoostM1_IBk(5)_P100
weka.AdaBoostM1_IBk(5)_S1
weka.AdaBoostM1_IBk(5)_I10
weka.AdaBoostM1_IBk(5)_Wweka.classifiers.lazy.IBk

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.6858
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5227
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3856
Cross-validation details (10-fold Crossvalidation)
KB relative information score
656.4455
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.096
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1555
Cross-validation details (10-fold Crossvalidation)
Number of instances
1484
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.5237
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5229
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5035
Cross-validation details (10-fold Crossvalidation)
Recall
0.5229
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6176
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2787
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3078
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1043
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1417.8817
UserCPU time millis
270
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
130
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
140
Cross-validation details (10-fold Crossvalidation)